{"id":"W4393147726","doi":"10.26434/chemrxiv-2024-vs39h","title":"Electrochemical Techniques for Uranium Extraction from Water","year":2024,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Cape Breton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Cape Breton University","keywords":"Uranium; Extraction (chemistry); Electrochemistry; Environmental science; Materials science; Metallurgy; Chemistry; Chromatography; Electrode","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001332578,0.0004783757,0.0004044871,0.00003996823,0.00009878406,0.0002197502,0.000389245,0.0009297974,0.001447452],"category_scores_gemma":[0.00004092733,0.0004123328,0.000344877,0.00003805886,0.00006227944,0.00006769154,0.0003356748,0.001492016,0.00003650847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002745821,"about_ca_system_score_gemma":0.00009759814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001211942,"about_ca_topic_score_gemma":5.942688e-7,"domain_scores_codex":[0.9979407,0.000006016324,0.0004019117,0.0009760893,0.0002106592,0.0004646264],"domain_scores_gemma":[0.9990529,0.0001048868,0.0001306102,0.0005064757,0.0001055203,0.00009959665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000106126,0.00005778238,0.0000148027,0.002271812,0.0002189818,0.000006247458,0.0001408773,3.611954e-7,0.9913729,0.00001312238,0.003009021,0.002787991],"study_design_scores_gemma":[0.0001439573,0.000005145152,4.818901e-7,0.0004586214,0.0002300384,0.00000753188,0.00003211741,0.0001792101,0.9222732,0.02781078,0.04836088,0.0004980145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8972479,0.005159881,0.01042558,0.001815542,0.0009315211,0.0005378732,0.0001668829,0.002268958,0.08144585],"genre_scores_gemma":[0.9830514,0.0001104631,0.005293137,0.00006811187,0.004185332,0.0007105154,0.002742289,0.0001367618,0.003702047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08580344,"threshold_uncertainty_score":0.9998329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618049367175214,"score_gpt":0.2869680001419272,"score_spread":0.2707875064701751,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}